Tag: Simulation

Advanced Analytics | Artificial Intelligence
Andreas Becks 0
Actuarial Transformation: How Mr Kaiser's Retirement Is Turning Actuarial Mathematics Into a Disturbance

"Hello, Mr Kaiser!" Remember him? At least our dear German readers will: From the 1970s to the early 2000s he came to our living room before every newsreel. As the insurance representative of the nation, he embodied trust, closeness and fairness. Whether property, casualty or motor vehicle insurance, Günther Kaiser

Advanced Analytics | Analytics
Christian Goßler 0
Lenin und der Rote Rapper im Internet of Ticks (IoT5)

„… Internet, Internet, ich hör‘ hier immer Internet. Sag’n Se‘ ma‘, ganz richtig ist das nicht!“ Der Service-Manager errötet nach seinem Rap. Lenin schwankt zwischen Belustigung und bolschewistischem Ingrimm: Stellt der Rote Rapper seine Erfolge im Internet of Things infrage? Der Rapper fährt fort: „Denn diese Daten, die Sie verbraten,

Learn SAS | Programming Tips
Rick Wicklin 0
Data-driven simulation

In a large simulation study, it can be convenient to have a "control file" that contains the parameters for the study. My recent article about how to simulate multivariate normal clusters demonstrates a simple example of this technique. The simulation in that article uses an input data set that contains

Programming Tips
Rick Wicklin 0
Random segments and broken sticks

A classical problem in elementary probability asks for the expected lengths of line segments that result from randomly selecting k points along a segment of unit length. It is both fun and instructive to simulate such problems. This article uses simulation in the SAS/IML language to estimate solutions to the

Learn SAS | Programming Tips
Rick Wicklin 0
Simulate lognormal data in SAS

A SAS customer asked how to simulate data from a three-parameter lognormal distribution as specified in the PROC UNIVARIATE documentation. In particular, he wanted to incorporate a threshold parameter into the simulation. Simulating lognormal data is easy if you remember an important fact: if X is lognormally distributed, then Y=log(X)

Rick Wicklin 0
The contaminated normal distribution

How can you generate data that contains outliers in a simulation study? The contaminated normal distribution is a simple but useful distribution you can use to simulate outliers. The distribution is easy to explain and understand, and it is also easy to implement in SAS. What is a contaminated normal

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